Generated by Cython 3.0.0b3
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Click on a line that starts with a "+" to see the C code that Cython generated for it.
Raw output: clm.c
+0001: # cython: c_string_type=unicode
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0002: # cython: c_string_encoding=utf8
0003:
+0004: import ctypes
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+0005: from functools import singledispatch, partial
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+0006: import math
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+0007: import random
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+0008: import subprocess
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+0009: import tempfile
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+0010: import time
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+0011: import types
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0012: import cython
0013: from cython.cimports.cpython.mem import PyMem_Malloc, PyMem_Realloc, PyMem_Free
0014: from cython cimport view
+0015: import numpy as np
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0016: cimport numpy as np
+0017: import numpy.typing as npt
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0018: cimport pysndlib.cclm as cclm
0019: cimport pysndlib.csndlib as csndlib
+0020: from pysndlib.sndlib import Sample, Header
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0021:
+0022: np.import_array()
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0023:
0024:
0025: # --------------- clm enums ---------------- #
+0026: cpdef enum Interp:
enum __pyx_t_8pysndlib_3clm_Interp {
__pyx_e_8pysndlib_3clm_NONE,
__pyx_e_8pysndlib_3clm_LINEAR,
__pyx_e_8pysndlib_3clm_SINUSOIDAL,
__pyx_e_8pysndlib_3clm_ALL_PASS,
__pyx_e_8pysndlib_3clm_LAGRANGE,
__pyx_e_8pysndlib_3clm_BEZIER,
__pyx_e_8pysndlib_3clm_HERMITE
};
0027: """
0028: various interpolation types
0029: """
0030: NONE, LINEAR,SINUSOIDAL, ALL_PASS, LAGRANGE, BEZIER, HERMITE
0031:
+0032: cpdef enum Window:
enum __pyx_t_8pysndlib_3clm_Window {
__pyx_e_8pysndlib_3clm_RECTANGULAR,
__pyx_e_8pysndlib_3clm_HANN,
__pyx_e_8pysndlib_3clm_WELCH,
__pyx_e_8pysndlib_3clm_PARZEN,
__pyx_e_8pysndlib_3clm_BARTLETT,
__pyx_e_8pysndlib_3clm_HAMMING,
__pyx_e_8pysndlib_3clm_BLACKMAN2,
__pyx_e_8pysndlib_3clm_BLACKMAN3,
__pyx_e_8pysndlib_3clm_BLACKMAN4,
__pyx_e_8pysndlib_3clm_EXPONENTIAL,
__pyx_e_8pysndlib_3clm_RIEMANN,
__pyx_e_8pysndlib_3clm_KAISER,
__pyx_e_8pysndlib_3clm_CAUCHY,
__pyx_e_8pysndlib_3clm_POISSON,
__pyx_e_8pysndlib_3clm_GAUSSIAN,
__pyx_e_8pysndlib_3clm_TUKEY,
__pyx_e_8pysndlib_3clm_DOLPH_CHEBYSHEV,
__pyx_e_8pysndlib_3clm_HANN_POISSON,
__pyx_e_8pysndlib_3clm_CONNES,
__pyx_e_8pysndlib_3clm_SAMARAKI,
__pyx_e_8pysndlib_3clm_ULTRASPHERICAL,
__pyx_e_8pysndlib_3clm_BARTLETT_HANN,
__pyx_e_8pysndlib_3clm_BOHMAN,
__pyx_e_8pysndlib_3clm_FLAT_TOP,
__pyx_e_8pysndlib_3clm_BLACKMAN5,
__pyx_e_8pysndlib_3clm_BLACKMAN6,
__pyx_e_8pysndlib_3clm_BLACKMAN7,
__pyx_e_8pysndlib_3clm_BLACKMAN8,
__pyx_e_8pysndlib_3clm_BLACKMAN9,
__pyx_e_8pysndlib_3clm_BLACKMAN10,
__pyx_e_8pysndlib_3clm_RV2,
__pyx_e_8pysndlib_3clm_RV3,
__pyx_e_8pysndlib_3clm_RV4,
__pyx_e_8pysndlib_3clm_MLT_SINE,
__pyx_e_8pysndlib_3clm_PAPOULIS,
__pyx_e_8pysndlib_3clm_DPSS,
__pyx_e_8pysndlib_3clm_SINC
};
0033: """
0034: many useful windows
0035: """
0036: RECTANGULAR, HANN, WELCH, PARZEN, BARTLETT, HAMMING, BLACKMAN2, BLACKMAN3, BLACKMAN4, EXPONENTIAL, RIEMANN, KAISER, CAUCHY, POISSON, GAUSSIAN, TUKEY, DOLPH_CHEBYSHEV, HANN_POISSON, CONNES, SAMARAKI, ULTRASPHERICAL, BARTLETT_HANN, BOHMAN, FLAT_TOP, BLACKMAN5, BLACKMAN6, BLACKMAN7, BLACKMAN8, BLACKMAN9, BLACKMAN10, RV2, RV3, RV4, MLT_SINE, PAPOULIS, DPSS, SINC,
0037:
+0038: cpdef enum Spectrum:
enum __pyx_t_8pysndlib_3clm_Spectrum {
__pyx_e_8pysndlib_3clm_IN_DB,
__pyx_e_8pysndlib_3clm_NORMALIZED,
__pyx_e_8pysndlib_3clm_RAW
};
0039: """
0040: types of normalizations when using the spectrum function. The results are in dB if IN_DB, or linear and normalized to 1.0 NORMALIZED, or linear unnormalized RAW
0041: """
0042: IN_DB, NORMALIZED, RAW
0043:
+0044: cpdef enum Polynomial:
enum __pyx_t_8pysndlib_3clm_Polynomial {
__pyx_e_8pysndlib_3clm_EITHER_KIND,
__pyx_e_8pysndlib_3clm_FIRST_KIND,
__pyx_e_8pysndlib_3clm_SECOND_KIND,
__pyx_e_8pysndlib_3clm_BOTH_KINDS
};
0045: """
0046: used for polynomial based gens
0047: """
0048: EITHER_KIND, FIRST_KIND, SECOND_KIND, BOTH_KINDS
0049:
0050:
0051:
0052: # --------------- function types for ctypes ---------------- #
+0053: INPUTCALLBACK = ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_void_p, ctypes.c_int)
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+0054: EDITCALLBACK = ctypes.CFUNCTYPE(ctypes.c_int, ctypes.c_void_p)
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0129:
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0132:
0133:
0134:
0135: # todo add mus_set_xcoeff and mus_set_ycoeff
0136:
0137: # --------------- extension types ---------------- #
0138:
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PyObject_HEAD
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edit_cb _editcallback;
analyze_cb _analyzecallback;
synthesize_cb _synthesizecallback;
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mus_float_t *_data_ptr;
PyArrayObject *_data;
mus_float_t *_xcoeffs_ptr;
PyArrayObject *_xcoeffs;
mus_float_t *_ycoeffs_ptr;
PyArrayObject *_ycoeffs;
mus_float_t *_pv_amp_increments_ptr;
PyArrayObject *_pv_amp_increments;
mus_float_t *_pv_amps_ptr;
PyArrayObject *_pv_amps;
mus_float_t *_pv_freqs_ptr;
PyArrayObject *_pv_freqs;
mus_float_t *_pv_phases_ptr;
PyArrayObject *_pv_phases;
mus_float_t *_pv_phase_increments_ptr;
PyArrayObject *_pv_phase_increments;
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PyObject *(*set_up_ycoeffs)(struct __pyx_obj_8pysndlib_3clm_mus_any *, int __pyx_skip_dispatch);
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0140: """
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0146:
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0153: cdef cclm.analyze_cb _analyzecallback
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0161: cdef np.ndarray _ycoeffs
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0167: cdef np.ndarray _pv_freqs
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0169: cdef np.ndarray _pv_phases
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0204: :meta private:
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struct __pyx_opt_args_8pysndlib_3clm_ndarray2file {
int __pyx_n;
PyObject *length;
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PyObject *sample_type;
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0627: """
0628: write an ndarray of samples to file
0629:
0630: :param filename: name of file
0631: :param arr: np.ndarray of samples
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0638:
0639:
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0660:
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struct __pyx_opt_args_8pysndlib_3clm_make_oscil_bank {
int __pyx_n;
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1947: """
1948: return a new oscil_bank generator. (freqs in radians)
1949:
1950: :param freqs: list or np.ndarray of frequencies in radians
1951: :param phases: list or np.ndarray of initial phases in radians
1952: :param stable: if it is true, oscil_bank can assume that the frequency. this is not operative
1953: :return: oscil_bank gen
1954: :rtype: mus_any
1955:
1956: """
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/* … */
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1972:
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1979: else:
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2009: return a new envelope generator. 'envelope' is a list/array of break-point pairs. to create the
2010: envelope, these points are offset by 'offset', scaled by 'scaler', and mapped over the time interval
2011: defined by either 'duration' (seconds) or 'length' (samples). if 'base' is 1.0, the connecting segments
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2013:
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2015: :param scaler: scaler on every y value (before offset is added)
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2057: """
2058: value of envelope env at x.
2059:
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2067: """
2068: value of envelope env at x.
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2095: """
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2119: """
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2132: """
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2141:
2142: # ---------------- table-lookup ---------------- #
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2264:
2265:
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
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); /*proto*/
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2934: """
2935: returns True if gen is a one_zero.
2936:
2937: :param gen: gen
2938: :rtype: bool
2939: """
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__pyx_r = mus_is_one_zero(__pyx_v_gen->_ptr); goto __pyx_L0;
2941:
2942: # make def for *args. are there other ways
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2944: """
2945: return a new two_pole filter: y(n) = a0 x(n) - b1 y(n-1) - b2 y(n-2).
2946:
2947: :param frequency: Center frequency \in Hz
2948: :param radius: Radius of filter. Refers to the unit circle, so it should be between 0.0 and (less than) 1.0.
2949: :param kwargs: If frequency and radius not provided, these should be keyword arguments 'a0', 'b1', 'b2'
2950: :return: two_pole gen
2951: :rtype: mus_any
2952: """
2953:
+2954: if kwargs:
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+2955: if 'a0' in kwargs and 'b1' in kwargs and 'b2' in kwargs:
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+2956: return mus_any.from_ptr(cclm.mus_make_two_pole(kwargs.get('a0'), kwargs.get('b1'), kwargs.get('b2')))
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2957: else:
+2958: raise KeyError(f'Filter needs values for a0, b1, b2')
/*else*/ {
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2959:
2960: else:
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if (likely(__pyx_t_1)) {
/* … */
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+2962: return mus_any.from_ptr(cclm.mus_make_two_pole_from_frequency_and_radius(frequency, radius))
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2963: else:
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2965:
+2966: cpdef cython.double two_pole(gen: mus_any, insig: float):
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2967: """
2968: two pole filter of input.
2969:
2970: :param gen: two_pole gen
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2972: :rtype: float
2973:
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2978: """
2979: returns True if gen is a two_pole.
2980:
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2985:
2986: # make def for *args. are there other ways
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2988: """
2989: return a new two_zero filter: y(n) = a0 x(n) + a1 x(n-1) + a2 x(n-2).
2990:
2991: :param frequency: Center frequency \in Hz
2992: :param radius: Radius of filter. Refers to the unit circle, so it should be between 0.0 and (less than) 1.0.
2993: :param kwargs: If frequency and radius not provided, these should be keyword arguments 'a0', 'a1', 'a2'
2994: :return: two_zero gen
2995: :rtype: mus_any
2996: """
2997:
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+3000: return mus_any.from_ptr(cclm.mus_make_two_zero(kwargs.get('a0'), kwargs.get('a1'), kwargs.get('a2')))
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3001: else:
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3012: two zero filter of input.
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3102: """
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3368:
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3797:
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3800: """
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3802:
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4036:
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4038: """
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4278:
4279: # ---------------- src ---------------- #
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4281: """
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4299:
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4343: """
4344: return a new convolution generator which convolves its input with the impulse response 'filter'.
4345:
4346: :param inp: gen or function to read from
4347: :param filt: np.array of filter
4348: :param fft_size: fft size used \in the convolution
4349: :param filter_size: how much of filter to use. if None use whole filter
4350: :return: convolve gen
4351: :rtype: mus_any
4352: """
4353:
4354: cdef cclm.input_cb cy_input_f_ptr
4355:
4356: cdef double [:] filt_view
4357:
4358:
+4359: if filter_size is None:
__pyx_t_1 = (__pyx_v_filter_size == Py_None);
if (__pyx_t_1) {
/* … */
}
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4361:
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4363:
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__pyx_t_2 = __Pyx_PyObject_FormatSimple(__pyx_v_fft_size, __pyx_empty_unicode); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4365, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __Pyx_PyUnicode_Concat(__pyx_kp_u_fft_size_must_be_a_positive_numb, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4365, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4365, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_2, 0, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __PYX_ERR(0, 4365, __pyx_L1_error)
4366:
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__pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4368, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_7 = 0; __pyx_t_8 = 127; __Pyx_INCREF(__pyx_kp_u_fft_size_too_large_cannot_alloca); __pyx_t_7 += 36; __Pyx_GIVEREF(__pyx_kp_u_fft_size_too_large_cannot_alloca); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_u_fft_size_too_large_cannot_alloca); __pyx_t_2 = __Pyx_PyObject_FormatSimple(__pyx_v_fft_size, __pyx_empty_unicode); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4368, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_8 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_2) > __pyx_t_8) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_2) : __pyx_t_8; __pyx_t_7 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_2); __pyx_t_2 = 0; __Pyx_INCREF(__pyx_kp_u_size_fft); __pyx_t_7 += 9; __Pyx_GIVEREF(__pyx_kp_u_size_fft); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_kp_u_size_fft); __pyx_t_2 = __Pyx_PyUnicode_Join(__pyx_t_3, 3, __pyx_t_7, __pyx_t_8); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4368, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4368, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(0, 4368, __pyx_L1_error)
4369:
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__pyx_t_3 = __pyx_f_8pysndlib_3clm_is_power_of_2(__pyx_v_filter_size, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4370, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_1 < 0))) __PYX_ERR(0, 4370, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_1) { /* … */ goto __pyx_L8; }
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__pyx_t_3 = __Pyx_PyInt_MultiplyObjC(__pyx_v_filter_size, __pyx_int_2, 2, 0, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4371, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF_SET(__pyx_v_fft_len, __pyx_t_3); __pyx_t_3 = 0;
4372: else :
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/*else*/ {
__pyx_t_3 = __pyx_f_8pysndlib_3clm_next_power_of_2(__pyx_v_filter_size, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4373, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF_SET(__pyx_v_fft_len, __pyx_t_3);
__pyx_t_3 = 0;
}
__pyx_L8:;
4374:
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__pyx_t_3 = PyObject_RichCompare(__pyx_v_fft_size, __pyx_v_fft_len, Py_LT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4375, __pyx_L1_error) __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_1 < 0))) __PYX_ERR(0, 4375, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_1) { /* … */ }
+4376: fft_size = fft_len
__Pyx_INCREF(__pyx_v_fft_len); __Pyx_DECREF_SET(__pyx_v_fft_size, __pyx_v_fft_len);
4377:
+4378: if isinstance(filt, list):
__pyx_t_1 = PyList_Check(__pyx_v_filt);
if (__pyx_t_1) {
/* … */
}
+4379: filt = np.array(filt)
__Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4379, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_array); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 4379, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = NULL; __pyx_t_5 = 0; if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) { __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_4); if (likely(__pyx_t_2)) { PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); __Pyx_INCREF(__pyx_t_2); __Pyx_INCREF(function); __Pyx_DECREF_SET(__pyx_t_4, function); __pyx_t_5 = 1; } } { PyObject *__pyx_callargs[2] = {__pyx_t_2, __pyx_v_filt}; __pyx_t_3 = __Pyx_PyObject_FastCall(__pyx_t_4, __pyx_callargs+1-__pyx_t_5, 1+__pyx_t_5); __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4379, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; } __Pyx_DECREF_SET(__pyx_v_filt, __pyx_t_3); __pyx_t_3 = 0;
4380:
+4381: check_ndim(filt)
__Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_check_ndim); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 4381, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); __pyx_t_2 = NULL; __pyx_t_5 = 0; if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) { __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_4); if (likely(__pyx_t_2)) { PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4); __Pyx_INCREF(__pyx_t_2); __Pyx_INCREF(function); __Pyx_DECREF_SET(__pyx_t_4, function); __pyx_t_5 = 1; } } { PyObject *__pyx_callargs[2] = {__pyx_t_2, __pyx_v_filt}; __pyx_t_3 = __Pyx_PyObject_FastCall(__pyx_t_4, __pyx_callargs+1-__pyx_t_5, 1+__pyx_t_5); __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0; if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4381, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; } __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
4382:
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4384:
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+4386: res = mus_any.from_ptr(cclm.mus_make_convolve(<cclm.input_cb>input_callback_func, &filt_view[0], fft_size, filter_size, <void*>(<mus_any>inp)._ptr))
__pyx_t_10 = 0;
__pyx_t_5 = -1;
if (__pyx_t_10 < 0) {
__pyx_t_10 += __pyx_v_filt_view.shape[0];
if (unlikely(__pyx_t_10 < 0)) __pyx_t_5 = 0;
} else if (unlikely(__pyx_t_10 >= __pyx_v_filt_view.shape[0])) __pyx_t_5 = 0;
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__Pyx_RaiseBufferIndexError(__pyx_t_5);
__PYX_ERR(0, 4386, __pyx_L1_error)
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__pyx_t_11 = __Pyx_PyInt_As_mus_long_t(__pyx_v_fft_size); if (unlikely((__pyx_t_11 == ((mus_long_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4386, __pyx_L1_error)
__pyx_t_12 = __Pyx_PyInt_As_mus_long_t(__pyx_v_filter_size); if (unlikely((__pyx_t_12 == ((mus_long_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4386, __pyx_L1_error)
__pyx_t_3 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_convolve(((input_cb)__pyx_f_8pysndlib_3clm_input_callback_func), (&(*((double *) ( /* dim=0 */ (__pyx_v_filt_view.data + __pyx_t_10 * __pyx_v_filt_view.strides[0]) )))), __pyx_t_11, __pyx_t_12, ((void *)((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_cur_scope->__pyx_v_inp)->_ptr)), NULL)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4386, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_3);
__pyx_t_3 = 0;
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__pyx_v_res->_inputcallback = ((input_cb)__pyx_f_8pysndlib_3clm_input_callback_func);
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__Pyx_XDECREF(__pyx_r); __Pyx_INCREF((PyObject *)__pyx_v_res); __pyx_r = ((PyObject *)__pyx_v_res); goto __pyx_L0;
4390:
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4495: """
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4500:
4501: """
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4509: """
4510: returns True if gen is a granulate.
4511:
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4516:
4517: #--------------- phase-vocoder ----------------#
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};
4519: fft_size: Optional[int]=512,
4520: overlap: Optional[int]=4,
4521: interp: Optional[int]=128,
4522: pitch: Optional[float]=1.0,
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values[5] = ((PyObject *)((PyObject *)Py_None));
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
case 5: values[4] = __Pyx_Arg_FASTCALL(__pyx_args, 4);
CYTHON_FALLTHROUGH;
case 4: values[3] = __Pyx_Arg_FASTCALL(__pyx_args, 3);
CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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else goto __pyx_L5_argtuple_error;
CYTHON_FALLTHROUGH;
case 1:
if (kw_args > 0) {
PyObject* value = __Pyx_GetKwValue_FASTCALL(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_fft_size);
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CYTHON_FALLTHROUGH;
case 2:
if (kw_args > 0) {
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CYTHON_FALLTHROUGH;
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__pyx_v_overlap = values[2];
__pyx_v_interp = values[3];
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__pyx_v_synthesize = values[7];
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__pyx_L5_argtuple_error:;
__Pyx_RaiseArgtupleInvalid("make_phase_vocoder", 0, 1, 8, __pyx_nargs); __PYX_ERR(0, 4518, __pyx_L3_error)
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__Pyx_AddTraceback("pysndlib.clm.make_phase_vocoder", __pyx_clineno, __pyx_lineno, __pyx_filename);
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4526:
4527: """
4528: return a new phase-vocoder generator; input is the input function (it can be set at run-time),
4529: analyze, edit, and synthesize are either None or functions that replace the default innards of the
4530: generator, fft_size, overlap and interp set the fft_size, the amount of overlap between ffts, and the
4531: time between new analysis calls. 'analyze', if given, takes 2 args, the generator and the input
4532: function; if it returns True, the default analysis code is also called. 'edit', if given, takes 1 arg,
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4534: the generator; it is called to get the current vocoder output.
4535:
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4538: :param overlap: how many analysis stages overlap
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4540: :param pitch: pitch scaling ratio
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4542: :param edit: if used, overrides default. functions of one argument, the phase_vocoder mus_any. change amplitudes and phases
4543: :param synthesize: if used, overrides default. unctions of one argument, the phase_vocoder mus_any.
4544: :return: phase_vocoder gen
4545:
4546: """
4547:
4548: cdef cclm.input_cb cy_inp_f_ptr
4549: cdef cclm.edit_cb cy_edit_f_ptr
4550: cdef cclm.analyze_cb cy_analyze_f_ptr
4551: cdef cclm.synthesize_cb cy_synthesize_f_ptr
4552:
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__pyx_t_1 = PyObject_RichCompare(__pyx_v_fft_size, __pyx_int_1, Py_LE); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4553, __pyx_L1_error) __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 4553, __pyx_L1_error) __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; if (unlikely(__pyx_t_2)) { /* … */ }
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__pyx_t_1 = __Pyx_PyObject_FormatSimple(__pyx_v_fft_size, __pyx_empty_unicode); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4554, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = __Pyx_PyUnicode_Concat(__pyx_kp_u_fft_size_must_be_a_positive_numb_2, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4554, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4554, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_1, 0, 0, 0); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __PYX_ERR(0, 4554, __pyx_L1_error)
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__pyx_t_1 = __Pyx_PyInt_From_mus_long_t(mus_max_malloc()); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4556, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_t_3 = PyObject_RichCompare(__pyx_v_fft_size, __pyx_t_1, Py_GT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4556, __pyx_L1_error) __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 4556, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (unlikely(__pyx_t_2)) { /* … */ }
+4557: raise ValueError(f'fft_size too large. cannot allocate {fft_size} size fft')
__pyx_t_3 = PyTuple_New(3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4557, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = 0; __pyx_t_5 = 127; __Pyx_INCREF(__pyx_kp_u_fft_size_too_large_cannot_alloca); __pyx_t_4 += 36; __Pyx_GIVEREF(__pyx_kp_u_fft_size_too_large_cannot_alloca); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_u_fft_size_too_large_cannot_alloca); __pyx_t_1 = __Pyx_PyObject_FormatSimple(__pyx_v_fft_size, __pyx_empty_unicode); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4557, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_t_5 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_1) > __pyx_t_5) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_1) : __pyx_t_5; __pyx_t_4 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); __pyx_t_1 = 0; __Pyx_INCREF(__pyx_kp_u_size_fft); __pyx_t_4 += 9; __Pyx_GIVEREF(__pyx_kp_u_size_fft); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_kp_u_size_fft); __pyx_t_1 = __Pyx_PyUnicode_Join(__pyx_t_3, 3, __pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4557, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4557, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(0, 4557, __pyx_L1_error)
4558:
+4559: if not is_power_of_2(fft_size):
__pyx_t_3 = __pyx_f_8pysndlib_3clm_is_power_of_2(__pyx_v_fft_size, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4559, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 4559, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_6 = (!__pyx_t_2); if (unlikely(__pyx_t_6)) { /* … */ }
+4560: raise ValueError(f'fft_size must be power of 2 not {fft_size}')
__pyx_t_3 = __Pyx_PyObject_FormatSimple(__pyx_v_fft_size, __pyx_empty_unicode); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4560, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_1 = __Pyx_PyUnicode_Concat(__pyx_kp_u_fft_size_must_be_power_of_2_not, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4560, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4560, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(0, 4560, __pyx_L1_error)
4561:
+4562: if(isinstance(inp, mus_any)):
__pyx_t_3 = __pyx_cur_scope->__pyx_v_inp; __Pyx_INCREF(__pyx_t_3); __pyx_t_6 = __Pyx_TypeCheck(__pyx_t_3, __pyx_ptype_8pysndlib_3clm_mus_any); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_6) { /* … */ goto __pyx_L6; }
+4563: res = mus_any.from_ptr(cclm.mus_make_phase_vocoder(<cclm.input_cb>input_callback_func, fft_size, overlap, interp, pitch, NULL, NULL, NULL, <void*>(<mus_any>inp)._ptr))
__pyx_t_7 = __Pyx_PyInt_As_int(__pyx_v_fft_size); if (unlikely((__pyx_t_7 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4563, __pyx_L1_error) __pyx_t_8 = __Pyx_PyInt_As_int(__pyx_v_overlap); if (unlikely((__pyx_t_8 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4563, __pyx_L1_error) __pyx_t_9 = __Pyx_PyInt_As_int(__pyx_v_interp); if (unlikely((__pyx_t_9 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4563, __pyx_L1_error) __pyx_t_10 = __pyx_PyFloat_AsDouble(__pyx_v_pitch); if (unlikely((__pyx_t_10 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4563, __pyx_L1_error) __pyx_t_3 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_phase_vocoder(((input_cb)__pyx_f_8pysndlib_3clm_input_callback_func), __pyx_t_7, __pyx_t_8, __pyx_t_9, __pyx_t_10, NULL, NULL, NULL, ((void *)((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_cur_scope->__pyx_v_inp)->_ptr)), NULL)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4563, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); __pyx_cur_scope->__pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_3); __pyx_t_3 = 0;
+4564: res._inputcallback = <cclm.input_cb>input_callback_func
__pyx_cur_scope->__pyx_v_res->_inputcallback = ((input_cb)__pyx_f_8pysndlib_3clm_input_callback_func);
+4565: res.cache_append(inp)
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CYTHON_FALLTHROUGH; case 7: values[6] = __Pyx_Arg_FASTCALL(__pyx_args, 6); CYTHON_FALLTHROUGH; case 6: values[5] = __Pyx_Arg_FASTCALL(__pyx_args, 5); CYTHON_FALLTHROUGH; case 5: values[4] = __Pyx_Arg_FASTCALL(__pyx_args, 4); CYTHON_FALLTHROUGH; case 4: values[3] = __Pyx_Arg_FASTCALL(__pyx_args, 3); CYTHON_FALLTHROUGH; case 3: values[2] = __Pyx_Arg_FASTCALL(__pyx_args, 2); CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_Arg_FASTCALL(__pyx_args, 1); CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_Arg_FASTCALL(__pyx_args, 0); CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } } __pyx_v_degree = values[0]; __pyx_v_distance = values[1]; __pyx_v_reverb = values[2]; __pyx_v_output = values[3]; __pyx_v_revout = values[4]; __pyx_v_channels = values[5]; __pyx_v_reverb_channels = values[6]; __pyx_v_interp_type = values[7]; } goto __pyx_L4_argument_unpacking_done; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("make_locsig", 0, 0, 8, __pyx_nargs); __PYX_ERR(0, 4807, __pyx_L3_error) __pyx_L3_error:; 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+4814: interp_type: Optional[Interp]=Interp.LINEAR):
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4815:
4816: """
4817: return a new generator for signal placement \in n channels. channel 0 corresponds to 0 degrees.
4818:
4819: :param degree: degree to place sound
4820: :param distance: distance, 1.0 or greater
4821: :param reverb: reverb amount
4822: :param output: output to write 'dry' signal to. can be an appropriately shaped np.ndarray or sample2file
4823: :param revout: output to write 'wet' signal to. can be an appropriately shaped np.ndarray or sample2file
4824: :param channels: number of main channels
4825: :param reverb_channels: number of channels for reverb
4826: :param interp_type: interpolation of position. can be Interp.LINEAR, Interp.SINUSOIDAL
4827: """
4828:
4829: cdef cclm.detour_cb cy_detour_f_ptr
4830:
+4831: if not output:
__pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_output); if (unlikely((__pyx_t_1 < 0))) __PYX_ERR(0, 4831, __pyx_L1_error) __pyx_t_2 = (!__pyx_t_1); if (__pyx_t_2) { /* … */ }
+4832: output = CLM.output #todo : check if this exists
__Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_CLM); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4832, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_output); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 4832, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF_SET(__pyx_v_output, __pyx_t_4); __pyx_t_4 = 0;
4833:
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__pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_revout); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 4834, __pyx_L1_error) __pyx_t_1 = (!__pyx_t_2); if (__pyx_t_1) { /* … */ }
+4835: if CLM.reverb is not None:
__Pyx_GetModuleGlobalName(__pyx_t_4, __pyx_n_s_CLM); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 4835, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_reverb); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4835, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __pyx_t_1 = (__pyx_t_3 != Py_None); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (__pyx_t_1) { /* … */ goto __pyx_L5; }
+4836: revout = CLM.reverb
__Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_CLM); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4836, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_reverb); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 4836, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_DECREF_SET(__pyx_v_revout, __pyx_t_4); __pyx_t_4 = 0;
4837: else:
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/*else*/ {
__Pyx_INCREF(Py_None);
__Pyx_DECREF_SET(__pyx_v_revout, Py_None);
}
__pyx_L5:;
4839:
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+4841: channels = clm_channels(output)
__Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_clm_channels); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4841, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = NULL; __pyx_t_6 = 0; if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) { __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_3); if (likely(__pyx_t_5)) { PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); __Pyx_INCREF(__pyx_t_5); __Pyx_INCREF(function); __Pyx_DECREF_SET(__pyx_t_3, function); __pyx_t_6 = 1; } } { PyObject *__pyx_callargs[2] = {__pyx_t_5, __pyx_v_output}; __pyx_t_4 = __Pyx_PyObject_FastCall(__pyx_t_3, __pyx_callargs+1-__pyx_t_6, 1+__pyx_t_6); __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 4841, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } __Pyx_DECREF_SET(__pyx_v_channels, __pyx_t_4); __pyx_t_4 = 0;
4842:
+4843: if not reverb_channels:
__pyx_t_2 = __Pyx_PyObject_IsTrue(__pyx_v_reverb_channels); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 4843, __pyx_L1_error) __pyx_t_1 = (!__pyx_t_2); if (__pyx_t_1) { /* … */ }
+4844: reverb_channels = clm_channels(revout)
__Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_clm_channels); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4844, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = NULL; __pyx_t_6 = 0; if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) { __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_3); if (likely(__pyx_t_5)) { PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3); __Pyx_INCREF(__pyx_t_5); __Pyx_INCREF(function); __Pyx_DECREF_SET(__pyx_t_3, function); __pyx_t_6 = 1; } } { PyObject *__pyx_callargs[2] = {__pyx_t_5, __pyx_v_revout}; __pyx_t_4 = __Pyx_PyObject_FastCall(__pyx_t_3, __pyx_callargs+1-__pyx_t_6, 1+__pyx_t_6); __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0; if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 4844, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; } __Pyx_DECREF_SET(__pyx_v_reverb_channels, __pyx_t_4); __pyx_t_4 = 0;
4845:
+4846: if isinstance(output, mus_any):
__pyx_t_1 = __Pyx_TypeCheck(__pyx_v_output, __pyx_ptype_8pysndlib_3clm_mus_any);
if (__pyx_t_1) {
/* … */
}
+4847: res = mus_any.from_ptr(cclm.mus_make_locsig(degree, distance, reverb, channels, <cclm.mus_any*>(output._ptr), reverb_channels, <cclm.mus_any*>(revout._ptr), interp_type))
__pyx_t_7 = __pyx_PyFloat_AsDouble(__pyx_v_degree); if (unlikely((__pyx_t_7 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4847, __pyx_L1_error) __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_v_distance); if (unlikely((__pyx_t_8 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4847, __pyx_L1_error) __pyx_t_9 = __pyx_PyFloat_AsDouble(__pyx_v_reverb); if (unlikely((__pyx_t_9 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4847, __pyx_L1_error) __pyx_t_6 = __Pyx_PyInt_As_int(__pyx_v_channels); if (unlikely((__pyx_t_6 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4847, __pyx_L1_error) __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_output, __pyx_n_s_ptr); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 4847, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_4); __pyx_t_10 = __Pyx_PyInt_As_int(__pyx_v_reverb_channels); if (unlikely((__pyx_t_10 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4847, __pyx_L1_error) __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_revout, __pyx_n_s_ptr); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4847, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_11 = ((mus_interp_t)__Pyx_PyInt_As_mus_interp_t(__pyx_v_interp_type)); if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 4847, __pyx_L1_error) __pyx_t_5 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_locsig(__pyx_t_7, __pyx_t_8, __pyx_t_9, __pyx_t_6, ((mus_any *)__pyx_t_4), __pyx_t_10, ((mus_any *)__pyx_t_3), __pyx_t_11), NULL)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 4847, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_5); __pyx_t_5 = 0;
+4848: return res
__Pyx_XDECREF((PyObject *)__pyx_r); __Pyx_INCREF((PyObject *)__pyx_v_res); __pyx_r = __pyx_v_res; goto __pyx_L0;
4849:
4850: # todo: what if revout is not an iterable? while possible not going to deal with it right now :)
+4851: elif is_list_or_ndarray(output):
__pyx_t_5 = __pyx_f_8pysndlib_3clm_is_list_or_ndarray(__pyx_v_output, 0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 4851, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely((__pyx_t_1 < 0))) __PYX_ERR(0, 4851, __pyx_L1_error) __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0; if (likely(__pyx_t_1)) { /* … */ }
+4852: if not reverb_channels:
__pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_v_reverb_channels); if (unlikely((__pyx_t_1 < 0))) __PYX_ERR(0, 4852, __pyx_L1_error) __pyx_t_2 = (!__pyx_t_1); if (__pyx_t_2) { /* … */ }
+4853: reverb_channels = 0
__Pyx_INCREF(__pyx_int_0); __Pyx_DECREF_SET(__pyx_v_reverb_channels, __pyx_int_0);
4854:
+4855: res = mus_any.from_ptr(cclm.mus_make_locsig(degree, distance, reverb, channels, NULL, reverb_channels, NULL, interp_type))
__pyx_t_9 = __pyx_PyFloat_AsDouble(__pyx_v_degree); if (unlikely((__pyx_t_9 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4855, __pyx_L1_error) __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_v_distance); if (unlikely((__pyx_t_8 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4855, __pyx_L1_error) __pyx_t_7 = __pyx_PyFloat_AsDouble(__pyx_v_reverb); if (unlikely((__pyx_t_7 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4855, __pyx_L1_error) __pyx_t_10 = __Pyx_PyInt_As_int(__pyx_v_channels); if (unlikely((__pyx_t_10 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4855, __pyx_L1_error) __pyx_t_6 = __Pyx_PyInt_As_int(__pyx_v_reverb_channels); if (unlikely((__pyx_t_6 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4855, __pyx_L1_error) __pyx_t_11 = ((mus_interp_t)__Pyx_PyInt_As_mus_interp_t(__pyx_v_interp_type)); if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 4855, __pyx_L1_error) __pyx_t_5 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_locsig(__pyx_t_9, __pyx_t_8, __pyx_t_7, __pyx_t_10, NULL, __pyx_t_6, NULL, __pyx_t_11), NULL)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 4855, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_5); __pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_5); __pyx_t_5 = 0;
+4856: cclm.mus_locsig_set_detour(res._ptr, <cclm.detour_cb>locsig_detour_callback_func)
mus_locsig_set_detour(__pyx_v_res->_ptr, ((detour_cb)__pyx_f_8pysndlib_3clm_locsig_detour_callback_func));
4857:
+4858: return res
__Pyx_XDECREF((PyObject *)__pyx_r); __Pyx_INCREF((PyObject *)__pyx_v_res); __pyx_r = __pyx_v_res; goto __pyx_L0;
4859:
4860: else:
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/*else*/ {
__pyx_t_5 = __Pyx_PyObject_FormatSimple(((PyObject *)Py_TYPE(__pyx_v_output)), __pyx_empty_unicode); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 4861, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_5);
__pyx_t_3 = __Pyx_PyUnicode_Concat(__pyx_kp_u_output_needs_to_be_a_clm_gen_or, __pyx_t_5); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4861, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
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__Pyx_GOTREF(__pyx_t_5);
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__PYX_ERR(0, 4861, __pyx_L1_error)
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4862:
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__Pyx_RefNannyDeclarations
__Pyx_RefNannySetupContext("locsig", 0);
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__pyx_r = -1;
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struct __pyx_opt_args_8pysndlib_3clm_convolve_files {
int __pyx_n;
PyObject *maxamp;
PyObject *outputfile;
PyObject *sample_type;
PyObject *header_type;
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4947:
4948: :param file1: first file
4949: :param file2: second file
4950: :param maxamp: amp to scale to
4951: :param outputfile: output file
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4953: :param header_type: header of sample type to use. defaults to clm.header_type
4954: :return: output file
4955: :rtype: str
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4968:
4969:
4970: #########################################
4971: # basic file reading/writing to/from nympy arrays
4972: # note all of this assumes numpy dtype is np.double
4973: # also assumes shape is (chan, length)
4974: # a mono file that is 8000 samples long should
4975: # be a numpy array created with something like
4976: # arr = np.zeroes((1,8000), dtype=np.double)
4977: # librosa follows this convention
4978: # todo : look at allowing something like np.zeroes((8000), dtype=np.double)
4979: # to just be treated as mono sound buffer
4980: # the python soundfile library does this differently
4981: # and would use
4982: # arr = np.zeros((8000,1), dtype=np.double))
4983: # this seems less intuitive to me
4984: # very issue to translate with simple np.transpose()
4985:
4986:
4987: # cpdef sndinfo(filename):
4988: # """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
4989: # channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
4990: # date = csndlib.mus_sound_write_date(filename)
4991: # srate = csndlib.mus_sound_srate(filename)
4992: # chans = csndlib.mus_sound_chans(filename)
4993: # samples = csndlib.mus_sound_samples(filename)
4994: # comment = csndlib.mus_sound_comment(filename)
4995: # length = samples / (chans * srate)
4996: #
4997: # header_type = header(mus_sound_header_type(filename))
4998: # sample_type = sample(mus_sound_sample_type(filename))
4999: #
5000: # loop_info = mus_sound_loop_info(filename)
5001: # if loop_info:
5002: # loop_modes = [loop_info[6], loop_info[7]]
5003: # loop_starts = [loop_info[0], loop_info[2]]
5004: # loop_ends = [loop_info[1], loop_info[3]]
5005: # base_note = loop_info[4]
5006: # base_detune = loop_info[5]
5007: #
5008: # loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0],
5009: # 'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
5010: # 'base_note' : base_note, 'base_detune' : base_detune,
5011: # 'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
5012: #
5013: # info = {'date' : time.localtime(date), 'srate' : srate, 'chans' : chans, 'samples' : samples,
5014: # 'comment' : comment, 'length' : length, 'header_type' : header_type, 'sample_type' : sample_type,
5015: # 'loop_info' : loop_info}
5016: # return info
5017:
5018: # def sound_loop_info(filename):
5019: # """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
5020: # channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
5021: #
5022: # loop_info = sndlib.mus_sound_loop_info(filename)
5023: # if loop_info:
5024: # loop_modes = [loop_info[6], loop_info[7]]
5025: # loop_starts = [loop_info[0], loop_info[2]]
5026: # loop_ends = [loop_info[1], loop_info[3]]
5027: # base_note = loop_info[4]
5028: # base_detune = loop_info[5]
5029: #
5030: # loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0],
5031: # 'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
5032: # 'base_note' : base_note, 'base_detune' : base_detune,
5033: # 'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
5034: # return info
5035: #
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5037: # """
5038: # return an ndarray with samples from file
5039: # """
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5042: # srate = csndlib.mus_sound_srate(filename)
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5048: #
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5059: #
5060: # def calc_length(start, dur):
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5063: # return st, nd
5064: #
5065: # def convert_frequency(gen):
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__pyx_v_op = mus_make_one_pole(.1, .2);
+5120: print(cclm.mus_data_exists(op))
__pyx_t_1 = __Pyx_PyBool_FromLong(mus_data_exists(__pyx_v_op)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 5120, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_builtin_print, __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 5120, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
5121: